SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 10251–10275 of 10817 papers

TitleStatusHype
Named Entity Recognition System for Dialectal Arabic—0
Exploiting Timegraphs in Temporal Relation Classification—0
Learning from a Neighbor: Adapting a Japanese Parser for Korean Through Feature Transfer Learning—0
CTPs: Contextual Temporal Profiles for Time Scoping Facts using State Change Detection—0
Learning Compact Lexicons for CCG Semantic Parsing—0
Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning—0
Knowledge Graph and Corpus Driven Segmentation and Answer Inference for Telegraphic Entity-seeking Queries—0
GloVe: Global Vectors for Word RepresentationCode0
A Regularized Competition Model for Question Difficulty Estimation in Community Question Answering Services—0
A* CCG Parsing with a Supertag-factored Model—0
A Neural Network for Factoid Question Answering over Paragraphs—0
Opinion Mining with Deep Recurrent Neural Networks—0
Question Answering over Linked Data Using First-order Logic—0
Morpho-syntactic Lexical Generalization for CCG Semantic Parsing—0
Lexical Substitution for the Medical Domain—0
Joint Relational Embeddings for Knowledge-based Question Answering—0
Invited Talk: IBM Cognitive Computing - An NLP Renaissance!—0
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach—0
Werdy: Recognition and Disambiguation of Verbs and Verb Phrases with Syntactic and Semantic Pruning—0
Taxonomy Construction Using Syntactic Contextual Evidence—0
Unsupervised Template Mining for Semantic Category Understanding—0
A Multi-World Approach to Question Answering about Real-World Scenes based on Uncertain Input—0
A Study of Association Measures and their Combination for Arabic MWT Extraction—0
Optimizing Component Combination in a Multi-Indexing Paragraph Retrieval System—0
Inducing Latent Semantic Relations for Structured Distributional Semantics—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified